Evidence map›Paper›PMID 27564778›Full record

ArticleArthritis care & research2016

Development of the American College of Rheumatology's Rheumatoid Arthritis Electronic Clinical Quality Measures.

Jinoos Yazdany, Mark Robbins, Gabriela Schmajuk, Sonali Desai, Diane Lacaille, Tuhina Neogi, Jasvinder A Singh, Mark Genovese, Rachel Myslinski, Natalie Fisk and 2 more

Abstract readValidation Study
In one paragraph

Article in Arthritis care & research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Quality Measures in Systemic Sclerosis.Diagnostics (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Observational
  14. Article
  15. Article
  16. [Limits of outpatient rheumatology care].Zeitschrift fur Rheumatologie · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jinoos YazdanyUniversity of California, San Francisco. jinoos.yazdany@ucsf.edu.
Mark RobbinsHarvard Vanguard Medical Associates, Atrius Health, Somerville, Massachusetts.
Gabriela SchmajukUniversity of California, San Francisco.
Sonali DesaiBrigham & Women's Hospital, Boston, Massachusetts.
Diane LacailleUniversity of British Columbia, Arthritis Research Centre of Canada, Vancouver, British Columbia, Canada.
Tuhina NeogiBoston University School of Medicine, Boston, Massachusetts.
Jasvinder A SinghUniversity of Alabama at Birmingham, Palo Alto, California.
Mark GenoveseStanford University Medical Center, Palo Alto, California.
Rachel MyslinskiAmerican College of Rheumatology, Atlanta, Georgia.
Natalie FiskAmerican College of Rheumatology, Atlanta, Georgia.
Melissa FranciscoAmerican College of Rheumatology, Atlanta, Georgia.
Eric NewmanGeisinger Medical Center, Danville, Pennsylvania.

Funding

ASPIRE: Advancing Safety Process Innovation in RheumatologyR01HS024412 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAZDANY, JINOOS · 2015 to 2017
$1.4M
AHRQ HHS R01 HS024412
6 · The paper itself

Abstract

objectiveElectronic clinical quality measures (eCQMs) rely on computer algorithms to extract data from electronic health records (EHRs). On behalf of the American College of Rheumatology (ACR), we sought to develop and test eCQMs for rheumatoid arthritis (RA).

methodsDrawing from published ACR guidelines, a working group developed candidate RA process measures and subsequently assessed face validity through an interdisciplinary panel of health care stakeholders. A public comment period followed. Measures that passed these levels of review were electronically specified using the quality data model, which provides standard nomenclature for data elements (category, datatype, and value sets) obtained through an EHR. For each eCQM, 3 clinical sites using different EHR systems tested the scientific feasibility and validity of measures. Measures appropriate for accountability were presented for national endorsement.

resultsExpert panel validity ratings were high for all measures (median 8-9 of 9). Health system performance on the eCQMs was 53.6% for RA disease activity assessment, 69.1% for functional status assessment, 93.1% for disease-modifying antirheumatic drug (DMARD) use, and 72.8% for tuberculosis screening. Kappa statistics, which evaluated whether the eCQM validly captured data obtained from manual EHR chart review, demonstrated moderate to substantial agreement (0.54 for functional status assessment, 0.73 for tuberculosis screening, 0.84 for disease activity, and 0.85 for DMARD use).

conclusionFour eCQMs for RA have achieved national endorsement and are recommended for use in federal quality reporting programs. Implementation and further refinement of these measures is ongoing in the ACR's registry, the Rheumatology Informatics System for Effectiveness (RISE).

Indexed as

Arthritis, RheumatoidAlgorithmsAntirheumatic AgentsElectronic Health RecordsHumansOutcome Assessment, Health CareQuality Assurance, Health CareRegistriesReproducibility of ResultsRheumatologySocieties, MedicalUnited StatesAntirheumatic Agents

Identifiers

PMID27564778
PMCPMC5550019

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.